Hi,
I have 16 tables of 39 variables with around 1500 to 3500 cases in each
table. These 16 tables are in 16 different data frames. I want to merge them
in a single large data frame, so:
All <- rbind(T1, T2, ...)
The problem: it is VERY slow, and takes a lot of memory (> 500 Mb) on my
Athlon XP1800+, 1.75 Go memory, Win 2000 Pro SP1, R 1.4.1. Any suggestion to
improve speed, and/or memory use?
Thanx,
Philippe Grosjean
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"Philippe Grosjean" <phgrosje at ulb.ac.be> writes:> Hi, > > I have 16 tables of 39 variables with around 1500 to 3500 cases in each > table. These 16 tables are in 16 different data frames. I want to merge them > in a single large data frame, so: > > All <- rbind(T1, T2, ...) > > The problem: it is VERY slow, and takes a lot of memory (> 500 Mb) on my > Athlon XP1800+, 1.75 Go memory, Win 2000 Pro SP1, R 1.4.1. Any suggestion to > improve speed, and/or memory use? > Thanx,No fix, but could you try running the profiler over this? I.e. Rprof() All <- rbind(T1, T2, ...) Rprof(NULL) and then on the command line Rcmd Rprof Rprof.out If this proves awkward on Windows, could you cook up an example (e.g. with random data) that reproduces the effect? -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._